{"id":"W4308735330","doi":"10.1038/s41587-022-01542-5","title":"Third-quarter biotech job picture","year":2022,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Job creation; Biotechnology; Biology; Economics; Labour economics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0002179615,0.0002689628,0.0004261716,0.0006830752,0.0004319915,0.000007086992,0.0004814275,0.01901265,0.0007700346],"category_scores_gemma":[0.0001050137,0.0002228462,0.0001823807,0.001143191,0.0003623097,0.00003168042,0.000417762,0.02619806,0.0001182814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001283388,"about_ca_system_score_gemma":0.00009886473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005044298,"about_ca_topic_score_gemma":0.000003556111,"domain_scores_codex":[0.9982446,0.00005059801,0.0002811365,0.0006179744,0.0002960218,0.0005096415],"domain_scores_gemma":[0.9987971,0.00003402049,0.0001017985,0.0009428426,0.00004697066,0.00007722079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009048347,0.0007410388,0.003019061,0.0001103803,0.0007780081,0.001966111,0.0002801947,0.00001280433,0.3299833,0.2944367,0.3497991,0.01796851],"study_design_scores_gemma":[0.001462057,0.001095628,0.002118894,0.00001759641,0.0001268069,0.003343956,0.0005000308,0.0000729934,0.09434668,0.002265667,0.8943267,0.0003229357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2885813,0.009405073,0.0006006641,0.6797469,0.002651476,0.000910971,0.00004307292,0.003193386,0.01486715],"genre_scores_gemma":[0.9830623,0.0003573962,0.001569503,0.01242723,0.0001317787,0.00005423541,0.00004088524,0.00003510616,0.002321572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.694481,"threshold_uncertainty_score":0.9822609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003758536114100733,"score_gpt":0.2343762253824443,"score_spread":0.2306176892683436,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}